Sam Elrad

Leading Enterprise AI Strategy | AI is changing everything and most of the coverage is noise. I break down what actually matters and why.

[Sam Elrad @SamElrad]

AI is the most important technology shift of our lifetime and it’s almost impossible to keep up with.

I’m going to try to make that easier.

Follow along if you want sharp takes on what’s happening in AI and what it means for business. No hype. No fear. Just signal.

[Anthropic @AnthropicAI]

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.

It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx

[Sam Elrad @SamElrad]

Google coming out with this tool makes a lot of sense from a general capability perspective, but I wonder if this generalist approach will make it harder to gain traction with Enterprises.

This looks cool in theory, but does it solve an actual clear business need vs other tools on the market like @higgsfield_ai?

[Google DeepMind @GoogleDeepMind]

We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video.

It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵

[Sam Elrad @SamElrad]

Harvey is doing everything they can to stay relevant and a clear leader in the legal AI vertical. Love the continuous releases and improvements.

[Harvey @harvey]

Introducing Contract Intelligence.

Contract agents take first pass on inbound contracts, apply your playbooks, and generate redlines.

See how clauses and negotiated positions are trending across your business.

Escalate what needs legal judgment, while agents handle the rest.

[Mark™ @thinkwithmark]

We raised $1M dollars to reinvent how people read. Introducing Mark II - a $159 AI bookmark. Thread below

[Sam Elrad @SamElrad]

Big time innovation for Notion - I love that this evolution brings actual customer pain points to the forefront, making the tool best in class against its competition… and not just another AI chatbot helper.

[Notion @NotionHQ]

BIG one for devs today. Introducing the Notion Developer Platform:

- Notion CLI, ntn (Notion in your terminal)
- Workers (run code on Notion's infra)
- Database sync (any data source into Notion)
- Agent tools (build any workflow)
- Webhook triggers (trigger Notion from any app)
- External Agents API (bring any agent into Notion)
- Notion Agents SDK (use Notion Agents anywhere)
- …and a bunch more API improvements

And soon, you won't need to be a developer to build on Notion. Your agent will be one for you.

[Jaya Gupta @JayaGup10]

https://t.co/5vDrndcmFn

[Sam Elrad @SamElrad]

Really interesting article here. It is so much easier for an individual to understand a visual vs a markdown file, even if it is in plain text.

I predict that the future of what LLMs consume best is also what humans consume best, and HTML files are clearly helping pave the way.

[Thariq @trq212]

https://t.co/MXt5XS4xBX

[Sam Elrad @SamElrad]

When these packages are build, I am curious what kind of impact this will have on the emerging vertical AI companies in the space.

Will be interesting to see how a company like Rogo competes or evolves with these new offerings in their market.

[Josh Kale @JoshKale]

Anthropic just automated the first-year analyst job at every bank on Wall Street.

They released these 10 AI agents for finance:
→ Pitch builder
→ Meeting preparer
→ Earnings reviewer
→ Model builder
→ Market researcher
→ Valuation reviewer
→ GL reconciler
→ Month-end closer
→ Statement auditor
→ KYC screener

The analyst pyramid just got a lot flatter.

[Sam Elrad @SamElrad]

This this holds true across all AI innovation. You can use AI to enhance your productivity, but unless you fully understand the underlying functionality, you will very likely face long term headwinds

[Andrej Karpathy @karpathy]

This is the the quote I've been citing a lot recently.

[Sam Elrad @SamElrad]

Very interesting perspective on the startup landscape. Great read @ShahRathin!

[Rathin Shah @ShahRathin]

https://t.co/ba6mgOyedQ

[Sam Elrad @SamElrad]

This is what will unlock exponential opportunity for Enterprises. If you can solve the context and memory problem, you will become a truly AI native company.

[Y Combinator @ycombinator]

Company Brain
@t_blom

Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that.

We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.

[Sam Elrad @SamElrad]

@claudeai Is this supposed to be a more flexible version of Databricks dashboards?

[Sam Elrad @SamElrad]

Very interesting read. Great article @itsalexvacca !

[Alex Vacca @itsalexvacca]

https://t.co/2THN8zmv9S

[Sam Elrad @SamElrad]

The final piece that Anthropic was missing. Where Lovable, Replit, and Figma were winning just got a lot more crowded.

[Claude @claudeai]

Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.

Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.

[Sam Elrad @SamElrad]

@claudeai How many minutes until OpenAI releases their new model? 😂

[Sam Elrad @SamElrad]

@claudeai @AnthropicAI Launched 4 minutes ago… who has cool use cases using Opus 4.7? 😂

[Sam Elrad @SamElrad]

This is going to be huge! What do you think will be a bigger step change? Opus 4.7 or ChatGPT 5.5?

[Alex Finn @AlexFinn]

This is one of the most important weeks of your life

It is more than likely both Opus 4.7 and ChatGPT 5.5 will release in the next few days

Both will be humanity shifting technologies

When massive shifts drop like this you need to do EVERYTHING in your power to be using them the moment they come out

You need to be calling in sick from work

You need to be asking your significant others to watch the kids

You need to be faking your death so your friends don't call you

You do what it takes to get your hands on these pieces of technology

When we have nuclear shifts in the landscape, massive opportunities arise. This will be one of those times

There's going to be a short time period after the release of these models where it will be easier and faster than ever to build revolutionary products, and not many people will be doing it

If you jump on these opportunities, you can build life changing wealth.

These are the times where people put on the AI sorting hat and that hat says either "permanent underclass" or "permanent overclass"

Take these actions now:

• Download Claude Code Desktop
• Download Codex app
• Get your OpenClaw ready for the update
• Learn these tools inside and out
• Moment the new models drop plug them in and use them

Your entire lineage is depending on this

[Aaron Levie @levie]

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise.

Some quick takeaways:

* Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow.

* Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated.

* Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs).

* Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these.

* Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs.

* Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy.

* Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems.

* Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been.

One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise.

This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

[Sam Elrad @SamElrad]

I have never seen anything like this before. This is amazing!

[Anthropic @AnthropicAI]

Our run-rate revenue has surpassed $30 billion, up from $9 billion at the end of 2025, as demand for Claude continues to accelerate. This partnership gives us the compute to keep pace.

Read more: https://t.co/XgSjL0And7

[Sam Elrad @SamElrad]

Awesome article @hooeem !

[hoeem @hooeem]

https://t.co/Wl8fyCSk5U